The aim of the research to develop efficient algorithm in the area of decision trees clustering and one-class learning. This algorithm works over inequality systems and by using continuous (fuzzy like) valued logic they can be handle in a uniform way.
The task of the applicant is to learn how the algorithms work, to use a fuzzy like logic and to test the efficiency and accuracy of the new methods.